📰🚨Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters by Channy Yun (윤석찬) 📈 AWS introduces Express brokers for Amazon MSK! Experience up to 3x throughput per broker, 20x faster scaling, and 90% quicker recovery. Simplifying Kafka management while enhancing resilience makes it a game-changer for your streaming apps! #AWS #Kafka #MSK 🚀 #AWSNews #AWS
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Introducing Express Brokers for Amazon MSK. 🚅 Want to scale your Kafka clusters faster and achieve higher throughput? Express Brokers for Amazon MSK is now available! 🙌 Key benefits include: - Faster scaling from 10s to 100s brokers. ⏩ - Higher throughput with upto 10X more connections. 📈 - Optimized for event streaming apps. - No code changes required. ⚡️ Express Brokers use a proxyless architecture optimized for performance. They simplify operations with auto-scaling and auto-healing. Ready to take your Kafka streaming to the next level? Learn more about Express Brokers below! https://lnkd.in/eJp4ynHG #aws #amazon #dataanalytics #datascience #realtimedata #streamingdata #awsgraviton #amazonsilicon #arm #aarch64 #amazonmsk #kafka #realtimedata #streamingdata
Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters | Amazon Web Services
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Check out our latest blog post about how to use Amazon Web Services (AWS)'s S3 Express One Zone storage class with WarpStream to reduce latency by 4x, while still keeping costs and operations burden under control! We're very excited to have this one featured on the AWS Storage blog - go take a look! https://lnkd.in/ewU9kABu
How WarpStream enables cost-effective low-latency streaming with Amazon S3 Express One Zone | Amazon Web Services
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Kafka vs Amazon MQ on AWS: A Comprehensive Comparison In the world of messaging systems, Kafka and Amazon MQ stand out as two prominent solutions, each with its unique strengths and applications. In this blog post, we'll compare Kafka and Amazon MQ, focusing on their pros and cons, typical use cases, and provide a brief guide on how to set up and access each on AWS. https://lnkd.in/dNMM-bGD
Kafka vs Amazon MQ on AWS: A Comprehensive Comparison
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Mastering Real-Time Data Streaming with Amazon MSK: A Comprehensive Guide to Managed Apache Kafka Services https://lnkd.in/dxEF7bRK Amazon Web Services (AWS) #aws #awslambda #businesscompassllc
Mastering Real-Time Data Streaming with Amazon MSK: A Comprehensive Guide to Managed Apache Kafka Services
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If you want to learn more about patterns for using Amazon Managed Streaming for Apache Kafka (MSK) for multi-tenant architectures, read the latest blog post I wrote with my colleagues Emanuele Levi, PhD and Nicholas Tunney. https://lnkd.in/g__HNnJs #aws #streamingdata #msk #kafka #multitenant #saas
Stream multi-tenant data with Amazon MSK | Amazon Web Services
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Interesting article. Quite a few of companies that I've helped rearchitect their monoliths stumbled on a very simple fact: you can refactor and decouple your code as much as you possibly want/can/time allows, but you will still have bottlenecks that you have significantly less control over, such as your DBs, caching, api gateways, etc. But as Werner Vogels always says -- "everything fails all the time". Make sure your code can quickly recover from those failures. #aws #netflix #microservices #scaling #resilience #captheory https://lnkd.in/edgDUmae
Microservices Lessons From Netflix
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Learn how to create an AWS MSK (Managed Streaming for Apache Kafka) cluster with ease and manage real-time data pipelines without worrying about the infrastructure. AWS MSK takes care of provisioning, scaling, and monitoring, allowing you to focus on building streaming applications. https://zurl.co/kGWa #AWS #Kafka #MSK #CloudComputing #DataStreaming #TechTutorial
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Exciting news! Check out our latest blog post on safely removing Kafka brokers from Amazon MSK provisioned clusters. Make Kafka easy with Amazon MSK!! https://lnkd.in/g73JdD3H #AWS #Kafka #MSK #realtime
Safely remove Kafka brokers from Amazon MSK provisioned clusters | Amazon Web Services
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Cut Costs in Real Time with Amazon Managed Streaming for Apache Flink. 💸 Amazon recently announced a new capability to optimize costs for Flink workloads in real time. This uses automatic scaling and Spot Instance usage to reduce costs by up to 90%! 🤯 The key highlights are: 🚀 Continuous cost optimization that scales cluster capacity based on workload needs, reducng waste. 💵 Leverages low-cost Spot Instances for significant savings - up to 90% less than On-Demand! 📈 Supports real-time streaming workloads like fraud detection, recommendation engines etc. 🤖 Fully managed service - no ops overhead for capacity management. The automatic optimization helps companies process streaming data cost-efficiently and focus on core business logic instead. 😀 This looks like a great capability for teams running real-time analytics on Flink! Has your team tried the managed Flink service on AWS? What cost savings have you realized? https://lnkd.in/g5_9gufM #aws #amazon #bigdata #dataanalytics #amazonmanagedserviceforapacheflink #apacheflink
Real-time cost savings for Amazon Managed Service for Apache Flink | Amazon Web Services
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AWS Lambda now improves the responsiveness for configuring Event Source Mappings (ESMs) and Amazon EventBridge Pipes with event sources such as self-managed Apache Kafka, Amazon Managed Streaming for Apache Kafka (MSK), Amazon DocumentDB, and Amazon MQ. This enhancement allows changes—such as updating, disabling, or deleting ESMs or Pipes—to take effect within 90 seconds, an improvement from the previous time frame of up to 15 minutes. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #lambda
AWS Lambda improves responsiveness for configuring stream and queue-based event sources
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